code: def test_shell(self, device, dtype):
      height = 5
      width = 4
      num_ray_points = 11
      rgbs = torch.rand(
          (height, width, num_ray_points, 3), dtype=dtype, device=device
      )
      densities = torch.zeros(
          (height, width, num_ray_points, 1), dtype=dtype, device=device
      )
      densities[..., 0, :] = 1
  
      points3d = _create_regular_point_cloud(
          height, width, num_ray_points, device=device, dtype=dtype
      )
  
      regular_renderer = RegularRenderer()
      rgbs_rendered = regular_renderer(rgbs, densities, points3d)
  
      weight = 1 - math.exp(-1.0)
      assert_close(rgbs_rendered, weight * rgbs[..., 0, :])
  
file_path: kornia/test/nerf/test_renderer.py
imports: import math
  import torch
  from kornia.core import Device, Tensor
  from kornia.nerf.volume_renderer import IrregularRenderer, RegularRenderer
  from kornia.testing import assert_close
label_desc: Use image node_id 3 for calling the TestRenderer obj's underlying member method code with example usage: obj.test_shell(device, dtype) without return types